onsite
AI Agent Engineer (Enterprise + Microsoft Ecosystem)
AI Engineer
Senior AI Engineer to design and deploy enterprise-grade AI agents using Microsoft ecosystem tools and large language models.
About the role
Key Responsibilities
- Design, develop, and deploy AI agents for enterprise workflows using Microsoft tools and frameworks
- Integrate large language models (LLMs) with enterprise systems and APIs
- Optimize agent performance for scalability, reliability, and security in cloud environments
- Collaborate with cross-functional teams to define agent requirements and architectures
- Implement best practices for agent orchestration, memory management, and tool use
- Monitor and maintain agent systems in production environments
Requirements
- 5+ years of experience in AI/ML engineering or software development
- Strong proficiency in Python and experience with LLM frameworks (e.g., LangChain, LlamaIndex)
- Hands-on experience with Microsoft Azure AI services and enterprise integrations
- Knowledge of agent frameworks (e.g., AutoGen, CrewAI) and cloud architectures
- Familiarity with prompt engineering, retrieval-augmented generation (RAG), and agent evaluation
Skills
ai agentsmicrosoft ecosystempythonllm integrationenterprise solutionscloud architecture